Job information

$ 60,000+ TWD per annum

Job Summary

As a search engine & data processing engineer, you will be working on developing, maintaining, testing and optimizing search engines, aggregators as well as determine best practices that involve high volume transactions and ETL dependencies. 

Job Description

RESPONSIBILITIES

  • Analyze unstructured data for ingest 
  • Design and develop ingest processes 
  • Design and develop Solr schema for efficiency -> understand Solr
  • Design and develop interfaces for application searches 
  • Design network architecture for Solr cluster 
  • Design and develop incremental update procedures 
  • Design and build data collection replacement strategy 
  • Define and configure Solr index schemas for multiple data elements 
  • Build Solr queries for numerous search requirements 
  • Design and develop search engine monitoring tools 
  • Monitor and audit search application performance through load testing, search testing,  query response time testing and report activities on an on-going basis 

 

REQUIREMENT

  • Bachelor's degree in computer science or related field or an equivalent amount of work experience plus a minimum of 8 years of relevant work experience 
  • 4+ years of experience using and working with Apache Solr 
  • 4+ years of experience implementing Solr builds of indexes, shards, and refined searches across un-structured datasets to include architectural scaling 
  • 5+ years of experience in architectural design and resource planning for scaling Solr capabilities 
  • 3+ years of experience with automated techniques and processes for bulk indexing of large-scale datasets residing in databases or un-indexed systems. 
  • 2+ years of experience working on Scrum or other agile development based methodologies 
  • 2+ years of experience leading development efforts 

 

ADDITIONAL EXPERIENCE:

  • Hadoop specific experience 
  • Familiarity with Entity Resolution technology 
  • Familiarity with architecture, both logical and physical design 
  • Experience with distributed queuing with technologies like Kafka 
  • Engineering experience in Java or Scala a plus
Or refer a friend and get 50% monthly salary reward.